Gender: Male 
Age: 60+
Nationality: United Kingdom
Ethnicity: White / Caucasian 
Marital status: Married 
First language: English 
Religion: Nothing 
Education: High school or below
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 7
Home: Own 
Employment: Employed full time
Occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Mother's occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Father's occupation: Craft related trades workers (those who produce or process foodstuffs, textiles, wooden, metal and other articles, including handicraft goods, and apply specific technical and practical knowledge and skills to construct and maintain buildings)
Hobbies: Listen to rock/indie music;Go to gigs;Exercise;Use social media;Do arts and crafts;Attend football matches;Watch sports 
Devices used daily: Laptop;Smartphone;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
NLP tools they would find useful: Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
Frequency of LLM use: Rarely
LLMs used: GitHub Copilot 
LLM use cases: Writing (e.g., composing emails);Digital content creation (e.g., creation of social media content) 
Contexts of LLM use: Work;Personal 
Prompt 1: How many vacancies in adult social care in the UK 
Prompt 2: Design transafrican flag
Prompt 3: Draft letter to MP asking them to sign EDM501
Prompt 4: Draft email to care workers asking them to ask their MP to sign EDM501
Prompt 5: Plan my train journey from Sheffield to St Neots
Prompt 6: Draft agenda for overseas care workers seminar to be held at Barnsley Metrodome on 7 December 2024 starting at 10am 
Prompt 7: Draft invitation for overseas care workers to attend seminar at Barnsley Metrodome on 7 December 2024 starting at 10am 
Prompt 8: Compile list of 10 popular Christmas songs with lyrics and sheet music
Prompt 9: Create recipe for 3 course Christmas dinner with vegan alternative options 
Prompt 10: Draft a campaign plan to lobby Yorkshire and Humberside MPs to support EDM501
Comments: No